Results 91 to 100 of about 110,162 (294)
FEBS Open Bio, EarlyView.KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
A comparison of ten principal component methods for forecasting mortality rates [PDF]
Using the age- and sex-specific data of 14 developed countries, we compare the short- to medium-term accuracy of ten principal component methods for forecasting mortality rates and life expectancy. These ten methods include the Lee-Carter method and many
Han Lin Shang +2 more
core
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm
, 2015 The paper is focused on the forecasting method for time series groups with the use of algorithms for cluster analysis. $K$-means algorithm is suggested to be a basic one for clustering.
Astakhova, N. N. +2 more
core +1 more source
FEBS Open Bio, EarlyView.dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
A Practitioner-Oriented Evaluation of Mortality Forecasting Methods: The Case of Australia
Comparative Population StudiesPractitioners seeking a suitable mortality model for forecasting population by age and sex are presented with many possible choices from the large and growing academic literature on mortality forecasting.
Irina Grossman, Tom Wilson
doaj +1 more source
Risks, 2018 Mortality forecasting has always been a target of study by academics and practitioners. Since the introduction and rising significance of securitization of risk in mortality and longevity, more in-depth studies regarding mortality have been carried out ...
Marie Angèle Cathleen Alijean +1 more
doaj +1 more source
Stochastic population forecasts using functional data models for mortality, fertility and migration [PDF]
Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility
Heather Booth, Rob J Hyndman
core
, 2021 Predicting mortality is a major challenge for both demographers and actuaries. The latter need to anticipate various future mortality scenarios with the greatest possible accuracy, as in the case of annuities pricing and longevity risk assessments. However, the current wide range of stochastic mortality models highlights some deficiencies in predicting
openaire +1 more source
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
FORECASTING THE COVID-19 MORTALITY RATE WORLDWIDE
Journal of Academia, 2022 Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID-19 disease was initially discovered in Wuhan, China and now spread throughout the countries.
Noreha Mohamed Yusof +3 more
doaj